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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…Swarm systems are dynamic and intelligent. Swarm Intelligence is inspired by naturally occurring swarm systems suchas Ant Colony, Bees Hive, or Bats. …”
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Thus, this project proposes a solution to the problems by utilizing the machine learning approach which is the Agglomerative clustering algorithm. Previous studies shows that homogenous grouping of autistics students yields positive results, therefore, this project proposes to design and develop a clustering model system known as the CASDSS (Clustering Autism Spectrum Disorder Students System) where the main goal of this system is to create a homogenous grouping of the ASD students based on their behaviour, skills and intelligence. …”
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User song preferences using preference learning in artificial intelligence
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Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…Swarm intelligence can be described as a complex behaviour generated from a large number of individual agents, where each agent follows very simple rules. …”
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. …”
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Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations
Published 2023Conference Paper -
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Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques
Published 2016“…Nevertheless, most of the past researcher already aware with the issue related to intelligent energy management. Yet, these studies could not fill the gap of the problem associated with intelligent energy management and require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques
Published 2016“…Nevertheless, most of the past researcher already aware with the issue related to intelligent energy management. Yet, these studies could not fill the gap of the problem associated with intelligent energy management and require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…Application of mobile multi-robot with group and intelligence bio-inspired classified as swarm mobile robot. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…As a conclusion, the proposed E-nose system with AI technique application can classify the aromatic herbs species successfully.…”
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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities
Published 2023“…Consequently, the results suggest additional, future development of our proposed approach in the form of an Intelligent Tutoring System (ITS) to make the early stages of learning programming more encouraging for students.…”
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Design Model Free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine.
Published 2011“…One of the best nonlinear robust controllers which can be used in uncertainty nonlinear systems is sliding mode controller (SMC). …”
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Automatic generation of Swarm Robotic behaviors using multi-objective evolution
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Machine Learning and Dyslexia-Diagnostic and Classification System (DCS) for Kids with Learning Disabilities
Published 2018“…Most experts are using manual techniques to diagnose dyslexia. Machine learning algorithms are capable enough to learn the knowledge of experts and intelligently diagnose and classify dyslexics. …”
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